Package: stlTDNN 0.1.0
Girish Kumar Jha
stlTDNN: STL Decomposition and TDNN Hybrid Time Series Forecasting
Implementation of hybrid STL decomposition based time delay neural network model for univariate time series forecasting. For method details see Jha G K, Sinha, K (2014). <doi:10.1007/s00521-012-1264-z>, Xiong T, Li C, Bao Y (2018). <doi:10.1016/j.neucom.2017.11.053>.
Authors:
stlTDNN_0.1.0.tar.gz
stlTDNN_0.1.0.tar.gz(r-4.5-noble)stlTDNN_0.1.0.tar.gz(r-4.4-noble)
stlTDNN_0.1.0.tgz(r-4.4-emscripten)stlTDNN_0.1.0.tgz(r-4.3-emscripten)
stlTDNN.pdf |stlTDNN.html✨
stlTDNN/json (API)
# Install 'stlTDNN' in R: |
install.packages('stlTDNN', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- Data_potato - Normalized Monthly Average Potato Price of India
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:54e5d27291. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 24 2024 |
R-4.5-linux | OK | Dec 24 2024 |
Exports:STLTDNN
Dependencies:askpassclicodetoolscolorspacecurlDerivfansifarverforeachforecastfracdiffgenericsggplot2glmnetgluegreyboxgtablehttrisobanditeratorsjsonlitelabelinglatticelifecyclelmtestmagrittrMAPAMASSMatrixmgcvmimemunsellneuralnetnlmenloptrnnetnnforopensslpillarpkgconfigplotrixpracmaquadprogquantmodR6RColorBrewerRcppRcppArmadilloRcppEigenrlangscalesshapesmoothstatmodsurvivalsystexregtibbletimeDatetseriestsutilsTTRurcaurootutf8vctrsviridisLitewithrxtablextszoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Normalized Monthly Average Potato Price of India | Data_potato |
STL Based TDNN Hybrid Forecast | STLTDNN |